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EXPOSURE TO AI
42%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
n/a
Not yet measured in the Anthropic Economic Index. The exposure figure is a capability estimate only.
A co-pilot is coming for the busywork, not the wheel.

42% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Summarize test results and report to appropriate authorities
  • Input details of specimen processing, analysis, and technical issues into logs or laboratory information systems (LIS)
  • Input details of specimens into logs or computer systems
  • Describe chromosome, FISH and aCGH analysis results in International System of Cytogenetic Nomenclature (ISCN) language
  • Communicate to responsible parties unacceptable specimens and suggest remediation for future submissions
WHAT IT STILL CAN’T
  • Harvest cell cultures using substances such as mitotic arrestants, cell releasing agents, and cell fixatives
  • Prepare biological specimens such as amniotic fluids, bone marrow, tumors, chorionic villi, and blood, for chromosome examinations
  • Select or prepare specimens and media for cell cultures using aseptic techniques, knowledge of medium components, or cell nutritional requirements
  • Prepare slides of cell cultures following standard procedures
  • Stain slides to make chromosomes visible for microscopy
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY)  | how this is calculated  | last updated 2026-07-16